One of the best ways to have this critical online presence is through web applications.

In particular, the Internet has become the major channel through which global businesses conduct marketing businesses and have become extremely successful over traditional marketing strategies.Īlmost every business today is tending towards growth beyond borders hence, the worldwide web plays a critical role in almost all human endeavours and overall development. Over the past decade, the Internet has witnessed tremendous growth in the volume, nature, and channel of information exchange across several media irrespective of distance or location. Our approach also serves as a decision-making tool for the users. Our detection framework recorded 15% improvement in accuracy and 0.01% reduction in the false-positive rate which is considerably lower than that found in the existing work by Koli et al. This paper describes the method implemented based on fuzzy logic to detect classic XSS weaknesses and to provide some results on experimentations. Motivated by this problem, this paper describes an “intelligent” tool for detecting cross-site scripting flaws in web applications. Interestingly, recent research studies on the web application security centre focus on attack prevention and mechanisms for secure coding recent methods for those attacks do not only generate high false positives but also have little considerations for the users who oftentimes are the victims of malicious attacks. Cross-site scripting (XSS) is a form of web security attack which involves the injection of malicious codes into web applications from untrusted sources.

However, these web applications are becoming prone to vulnerabilities which have led to theft of confidential information, data loss, and denial of data access in the course of information transmission. With improvement in computing and technological advancements, web-based applications are now ubiquitous on the Internet.

Inspect element chrome assess code